Single-walled carbon nanotubes as adaptable one-dimensional crosslinker to bridge multi-responsive shape memory network via π–π stacking

Recently, shape-memory polymers (SMPs) with multi-response capacity and multi-functionality have become increasingly desired. Although these features can be achieved by integrating different functional units into one system, reaching this goal in materials with a minimalist structure remains a major...

Full description

Saved in:
Bibliographic Details
Published inComposites communications Vol. 14; pp. 48 - 54
Main Authors Xiao, Wen-Xia, Fan, Cheng-Jie, Li, Bei, Liu, Wei-Xiu, Yang, Ke-Ke, Wang, Yu-Zhong
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2019
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Recently, shape-memory polymers (SMPs) with multi-response capacity and multi-functionality have become increasingly desired. Although these features can be achieved by integrating different functional units into one system, reaching this goal in materials with a minimalist structure remains a major challenge. In this work, a multi-responsive shape-memory pyrene-containing poly(ε-caprolactone) network was developed by simple combination with single-walled carbon nanotubes (SWCNTs) as a one-dimensional, infinite-functional crosslinker. π-π Stacking between the SWCNTs and pyrene group formed stable netpoints and led to desirable shape-memory effects (SMEs). The pyrene group is highly beneficial for dispersing the SWCNTs, allowing the formation of an electrically conductive network with low loading capacity. Thus, thermo-, electro-, and photo-induced SMEs were realized by virtue of the excellent electrical conductivity and photothermal effect of the SWCNTs. The self-healing capacity of the network was also demonstrated by exploiting the dynamic π-π stacking interactions. •The SWCNTs was used as a one-dimensional crosslinker to construct the shape memory networks via π–π stacking.•The networks exhibit excellent thermal, electro, light-induced shape memory effect.•The self-healing capacity of the network was demonstrated by utilizing the dynamic feature of π-π stacking interaction.
ISSN:2452-2139
2452-2139
DOI:10.1016/j.coco.2019.05.006